A STUDY ON EXTRACTING TACIT KNOWLEDGE FOR BRIDGE SOUNDNESS DIAGNOSIS USING LINE-OF-SIGHT INFORMATION

DOI

Bibliographic Information

Other Title
  • 視線情報による橋梁健全性診断の暗黙知抽出に関する検討

Description

<p>As the working-age population continues to decline, one of the most pressing issues in the maintenance and management of social infrastructure is the transfer of skills to younger engineers. In recent years, AI has been attracting attention as one of the measures to address this issue, but it has only been applied to some types of work, and it is inevitable to continue handing down skills to human workers for the time being. In this study, we attempted to extract tacit knowledge from images of bridges by focusing on the line-of-sight information when diagnosing the soundness of bridges. As a result, it was confirmed that the analysis of line-of-sight information on images is effective in extracting tacit knowledge. And useful materials were obtained that contribute to the improvement of diagnosis accuracy by unskilled workers.</p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390294113692233856
  • DOI
    10.11532/jsceiii.3.j2_650
  • ISSN
    24359262
  • Text Lang
    ja
  • Data Source
    • JaLC
  • Abstract License Flag
    Disallowed

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